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Autor(en): 
  • Meinard Müller
  • Fundamentals of Music Processing: Using Python and Jupyter Notebooks 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  April 2022  
    Genre:  EDV / Informatik 
    ISBN:  9783030698102 
    EAN-Code: 
    9783030698102 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 27 mm 
    Gewicht:  887 gr 
    Seiten:  528 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR). Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, signal processing, computer science, digital humanities, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform¿concepts used throughout the book. Each of the subsequent chapters starts with a general description of a concrete music processing task and then discusses¿in a mathematically rigorous way¿essential techniques and algorithms applicable to a wide range of analysis, classification, and retrieval problems. By mixing theory and practice, the book¿s goal is to offer detailed technological insights and a deep understanding of music processing applications. Asa substantial extension, the textbook¿s second edition introduces the FMP (fundamentals of music processing) notebooks, which provide additional audio-visual material and Python code examples that implement all computational approaches step by step. Using Jupyter notebooks and open-source web applications, the FMP notebooks yield an interactive framework that allows students to experiment with their music examples, explore the effect of parameter settings, and understand the computed results by suitable visualizations and sonifications. The FMP notebooks are available from the author¿s institutional web page at the International Audio Laboratories Erlangen.

      
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